Optimal Placement Of Micro- PMUs for Real-time Monitoring of Inter-Connected Smart Distribution Networks

Kotha, Sravan Kumar; Rajpathak, Bhooshan; Ramesh, B.; Khedkar, Mohan

doi:10.1109/asiancon55314.2022.9908691

Cited by 2 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…here, 𝜆 refers binary variable vector and X refers connectivity matrix. 34 X matrix always denotes connection among nodes and dimensions of buses. The elements of the connectivity matrix is described by,…”

Section: Optimum 𝛍-Pmu Placement Formulationmentioning

confidence: 99%

“…In these figs there are totally 2 μ-PMUs are located in IEEE-13 bus-system nodes, such as 2 and 7. And 12 μ-PMUs are placed at the nodes of IEEE-34 bus systems, such as 02, 10,14,20,24,34,40,38,54,88, 64, and 46.…”

Section: Placement Of 𝛍-Pmus In Different Busesmentioning

confidence: 99%

“…Vector function is generated to describe every bus observability 33 . Here, the connectivity matrix ( X ) based vector function is given below,

h\left(\lambda \right)=X\times \lambda,

here,

\lambda

refers binary variable vector and

X

refers connectivity matrix 34 .

X

matrix always denotes connection among nodes and dimensions of buses.…”

Section: Configuration Of μ‐Pmus With Hybrid Techniquesmentioning

confidence: 99%

See 2 more Smart Citations

Optimal location of micro‐phasor measurement units in distribution system control, monitoring, and protection using hybrid technique

Hussain¹,

Elango²

2023

Optim Control Appl Methods

View full text Add to dashboard Cite

This manuscript proposes a hybrid technique for the optimum location of micro‐phasor measurement units (μ‐PMUs) in the distribution system (DS).The proposed hybrid approach is the wrapper of dwarf mongoose optimizer (DMO) and pelican optimization algorithm (POA). The updating behavior of DMO is improved by the POA; therefore, it is called DMO‐POA approach. The main aim of the proposed approach is to avoid discontinuity of supply and minimizes the count of PMDs to reduce cost and attain the maximal count of measurement‐redundancy that is limited to full‐system observability for IEEE bus‐system in zero injection nodes (ZINs) and tie‐switches. The proposed approach considered the optimum count of μ‐PMUs is needed for the thorough distribution system economy, observability, and the reliability measure. The proposed approach considers the distribution of PMUs in the reconfiguration of smart‐distribution‐grids, ZINs and communication system requirements. Here, the objective‐function is aiming at minimizing the costs of reliability and capital. The proposed method uses the infrastructure of communication cost to simultaneously co‐optimize the system switching strategy and find the optimal sites for PMUs. The performance of the proposed technique is tested in different test‐systems, like IEEE‐14 bus, 13, 34, 37, and 123 buses and the performance is executed by comparing it with the existing approaches. Furthermore, the proposed system is effectual to find an optimal solution with less computation and decreases the complexity of the algorithm.

show abstract

Section: Optimum 𝛍-Pmu Placement Formulationmentioning

confidence: 99%

Section: Placement Of 𝛍-Pmus In Different Busesmentioning

confidence: 99%

“…Vector function is generated to describe every bus observability 33 . Here, the connectivity matrix ( X ) based vector function is given below,

h\left(\lambda \right)=X\times \lambda,

here,

\lambda

refers binary variable vector and

X

refers connectivity matrix 34 .

X

matrix always denotes connection among nodes and dimensions of buses.…”

Section: Configuration Of μ‐Pmus With Hybrid Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Optimal location of micro‐phasor measurement units in distribution system control, monitoring, and protection using hybrid technique

Hussain¹,

Elango²

2023

Optim Control Appl Methods

View full text Add to dashboard Cite

show abstract

“…Maximum system redundancy is ensured by the highest value of CSORI. CI determines the total cost of optimal µPMUs deployment [34]. In order to identify the critical buses where µPMUs should be installed for effective monitoring, a graph-theoretic approach has been used in [35].…”

Section: µPmu Placementmentioning

confidence: 99%

Realistic μPMU Data Generation for Different Real-Time Events in an Unbalanced Distribution Network

2023

View full text Add to dashboard Cite

Monitoring, protection, and control processes are becoming more complex as distributed energy resources (DERs) penetrate distribution networks (DNs). This is due to the inherent nature of power DNs and the bi-directional flow of current from various sources to the loads. To improve the system’s situational awareness, the grid dynamics of the entire DER integration processes must be carefully monitored using synchronized high-resolution real-time measurement data from physical devices installed in the DN. μPMUs have been introduced into the DN to help with this. In comparison to traditional measurement devices, μPMUs can measure voltage, current, and their phasors, in addition to frequency and rate of frequency change (ROCOF). In this study, an approach to generating realistic event data for a real utility DN utilizing strategically installed μPMUs is proposed. The method employs an IEEE 34 test feeder with 12 μPMUs installed in strategic locations to generate real-time events-based realistic μPMU data for various situational awareness applications in an unbalanced DN. The node voltages and line currents were used to analyze the various no-fault and fault events. The author generated the data as part of his PhD research project, utilizing his real-time utility grid operation experience to be used for various situational awareness and fault location studies in a real unbalanced DN. The DN was modeled in DIgSILENT PowerFactory (DP) software. The generated realistic μPMU data can be utilized for developing data-driven algorithms for different event-detection, classification and section-identification research works.

show abstract

Optimal Placement Of Micro- PMUs for Real-time Monitoring of Inter-Connected Smart Distribution Networks

Cited by 2 publications

References 16 publications

Optimal location of micro‐phasor measurement units in distribution system control, monitoring, and protection using hybrid technique

Optimal location of micro‐phasor measurement units in distribution system control, monitoring, and protection using hybrid technique

Realistic μPMU Data Generation for Different Real-Time Events in an Unbalanced Distribution Network

Contact Info

Product

Resources

About